It is possible to download software here.
Publication to be cited
GALÁŽ, Z. Preliminary Acoustic Analysis of Noise Components in Patients In Parkinsons Disease. In Proceedings of the 21st Conference STUDENT EEICT 2015. Brno: 2015. p. 476-480. ISBN: 978-80-214-5148- 3.
Mekyska J., Galáž Z., Mžourek Z., Smékal Z., Rektorová I., et al. (2015) Assessing Progress of Parkinson’s Disease Using Acoustic Analysis of Phonation. International Work Conference on Bioinspired Intelligence (IWOBI 2015): 115-122.
Analysis of dysarthric speech is usually performed in combination with some form of visualization of parametric space computed in direction of extracting clinically interpretable information about speech production deterioration. This toolbox (Dysarthric Speech Visualization tool – DSV tool) enables users to visualize several world-renown methods such as box plots, kernel probability density estimation plots, and correlation diagrams (they visualize correlation between clinical and para-clinical data using the regression curve), which are specifically adjusted for the purpose of dysarthric speech analysis for dysarthric and healthy speakers. Furthermore, this toolbox also contains functions for visualization multidimensional feature space using so called polar graph for several speaker groups.
Polar graphs are specifically adjusted to visualize data for several measurements in time. Therefore, it is possible to display general speech impairment. Moreover, this toolbox contains functions for visualization in form of dysarthric polar plot representing 4 sub-dimensions of Hypokinetic dysarthria (phonation, articulation, prosody and speech fluency), and also prosodic polar plot representing 3 sub-dimensions of prosody (monopitch intonation, monoloudness and speech rate). Last, it enables users to visualize the correlation between speech features and subjective clinical rating scales in a polar plot. These functions provide visual interpretation of speech production deterioration in a complex form that is easy to use in any form of data analysis before the statistical method application, classification, and other forms of data analysis commonly used in this field of science.
This work was supported by projects NT13499, LO1401, COST IC1206 and FEKT-S-14-2335. The described research was performed in laboratories supported by the SIX project; the registration number CZ.1.05/2.1.00/03.0072, the operational program Research and Development for Innovation.